Selection of Suppliers by Weighted Aggregated Sum Product Assessment (WASPAS) Method

Abstract

Selection of an efficient supplier has always been a tough task in the arena of logistics management. The performance of a supplier depends on several factors that enables the researchers to consider this as a multi-criteria decision making (MCDM) problem. The goal of this research paper is to propose the most efficient supplier among 18 available alternatives on the basis of 5 performance criteria namely, price, distance, quality, supply variety and delivery performance by implementing analytic hierarchy process (AHP) to evaluate the criteria weights and weighted aggregated sum product assessment (WASPAS) to rank the alternatives. The results obtained shows that, supplier 10 and supplier 7 is the best and the worst choice, respectively among these 18 suppliers. On comparing with the previous researchers existing results executed by COPRAS and TOPSIS, it is observed that there are differences in the preference order of the alternatives, but the best and worst choice of suppliers remains same in all methods.